Lead Data Scientist & GenAI

Bengaluru - India

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

AVP- Data Science with GenAI
Location Bengaluru Karnataka Work Mode Work from Office (Full-time)

The candidate will drive advanced analytics opportunities in the BFSI sector leading end-to-end project delivery stakeholder engagement and team management. The ideal professional will bring a strong background in advanced analytics and proven success in delivering high-impact solutions for Indian clients.

Key Skills

Strong proficiency in Python (NumPy Pandas Scikit-learn etc.).
Expertise in handling massive datasets (local/distributed) using tools such as Apache Spark Vaex Dask.
Hands-on experience in building and deploying models including:
- Promotion optimization NLP (BERT DistilBERT) clustering segmentation recommendation systems.
- Fraud detection lapsation prediction neural networks (ANN LSTM transformers attention models).
- Bagging boosting and generative models.
Experience with cloud platforms (Azure GCP AWS).
Familiarity with ML-Ops pipelines for automated model training deployment and monitoring.
Exposure to banking variables and bureau data for channel partnerships is preferred.

Responsibilities

Stakeholder Engagement Build strong partnerships with BFSI clients and channel partners communicate methodologies effectively and drive stakeholder confidence.
Project Leadership Scope plan and deliver end-to-end analytics projects ensuring timelines budgets and quality standards are consistently met.
Analytics Delivery Design and deploy high-impact data science and GenAI models to solve complex business problems and sharpen client strategies.
Team Development Mentor coach and upskill junior data scientists; lead in-house training initiatives to build organizational capability.
Compliance & Standards Ensure adherence to SOPs documentation and governance frameworks while maintaining best practices in model deployment.

Qualifications & Experience

10 years of experience in advanced analytics.
Graduate/Postgraduate degree from Tier-I colleges.
Ability to design and review new solution concepts and lead the delivery of high-impact analytics solutions and programs for global clients
Strong understanding of statistical concepts.

AVP- Data Science with GenAI Location Bengaluru Karnataka Work Mode Work from Office (Full-time) The candidate will drive advanced analytics opportunities in the BFSI sector leading end-to-end project delivery stakeholder engagement and team management. The ideal professional will bring a st...

AVP- Data Science with GenAI
Location Bengaluru Karnataka Work Mode Work from Office (Full-time)

Key Skills

Strong proficiency in Python (NumPy Pandas Scikit-learn etc.).
Expertise in handling massive datasets (local/distributed) using tools such as Apache Spark Vaex Dask.
Hands-on experience in building and deploying models including:
- Promotion optimization NLP (BERT DistilBERT) clustering segmentation recommendation systems.
- Fraud detection lapsation prediction neural networks (ANN LSTM transformers attention models).
- Bagging boosting and generative models.
Experience with cloud platforms (Azure GCP AWS).
Familiarity with ML-Ops pipelines for automated model training deployment and monitoring.
Exposure to banking variables and bureau data for channel partnerships is preferred.

Responsibilities

Stakeholder Engagement Build strong partnerships with BFSI clients and channel partners communicate methodologies effectively and drive stakeholder confidence.
Project Leadership Scope plan and deliver end-to-end analytics projects ensuring timelines budgets and quality standards are consistently met.
Analytics Delivery Design and deploy high-impact data science and GenAI models to solve complex business problems and sharpen client strategies.
Team Development Mentor coach and upskill junior data scientists; lead in-house training initiatives to build organizational capability.
Compliance & Standards Ensure adherence to SOPs documentation and governance frameworks while maintaining best practices in model deployment.

Qualifications & Experience

10 years of experience in advanced analytics.
Graduate/Postgraduate degree from Tier-I colleges.
Ability to design and review new solution concepts and lead the delivery of high-impact analytics solutions and programs for global clients
Strong understanding of statistical concepts.